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Visualization and Storytelling -...

<h3>About Training</h3><p>Communication, conversation, and collaboration – these three C’s are the keys to data-driven business. Data is the catalyst that triggers and inspires the three C’s. Data visualization is a core element of business analytics and business communications. Without visualization, the numbers and statistics of analytics are difficult to interpret and incomprehensible to many who need to turn data into knowledge. Elegant and well-designed data visuals often appear to be easy because skilled visual developers hide the complexities and hard work behind the scenes.<br><br>Creating visualizations is only the beginning. Analytics impact depends on visualization skills of two kinds – ability to create visuals and ability to understand them. The real value of visualization does not come from creating visuals, but from understanding what they tell you. With the language of words we learn reading and writing as separate but related skills. Similarly, with visual language we need to learn understanding (reading) and creating (writing) as distinct but related skills.<br><br>Data storytelling takes data visualization to the next level. Storytellers are the next generation of business and data analysts. They don&#39;t dismiss the value of the quants; they see quantification as the foundation of data stories. Neither do they devalue visualization; in fact, they amplify it’s value by scripting a story with visuals to communicate the what, when, where, who, and why of business circumstances and business behaviors.<br><br>The Visualization and Storytelling Skills workshop will cover essential techniques and best practices for data visualization and data storytelling over three days of in-depth, interactive training.</p><br /><h3>What You'll Learn</h3><ul><li>Visual design techniques and the components of visualization</li><li>Visual data exploration and analysis</li><li>The most important things to look for when viewing data visualizations</li><li>How to do a “quick read” and a “critical read” of data visualizations</li><li>To see trends, patterns, and outliers in visual presentation of data</li><li>To see ambiguity, distortion, and bias in visual presentation of data</li><li>How to find the stories in data and data visualizations</li><li>How to support data visualization with narrative and craft captivating and compelling data stories</li></ul><br /><h3>Who Should Attend</h3><ul><li>Business analysts and data analysts</li><li>Business analytics leaders and managers</li><li>Anyone who uses data to develop charts and graphs for communication</li><li>Business managers, decision makers, analysts and other analytics consumers seeking to refine their skills for understanding data visualizations</li><li>Anyone who creates data visualizations for others</li><li>Anyone who views data visualizations created by others</li></ul><br /><h3>Outline</h3><p><strong>1. Data Visualization Fundamentals</strong></p><p><strong>1.1 Data Visualization Concepts</strong></p><ul><li> Data Visualization Today</li><li> Data Visualization Components</li><li> Visual Cues</li><li> Coordinate Systems</li><li> Measurement Scales</li><li> Visual Context</li></ul><p><strong>1.2 Fundamentals of Visualization</strong></p><ul><li> Data Visualization Methods</li><li> Data Visualization Standards</li><li> Visualization with Purpose</li><li> Data Visualization Development</li></ul><p><strong>1.3 Visualization Techniques</strong></p><ul><li> Visualization Techniques</li><li> Visualizing Comparisons</li><li> Visualizing Proportions</li><li> Visualizing Relationships</li><li> Visualizing Patterns</li></ul><p><strong>1.4 Visualization and BI</strong></p><ul><li> Visualization and BI</li><li> Analytics</li><li> Visual Reporting</li><li> Infographics</li><li> Data Storytelling</li></ul><p><strong>1.5 Tools and Resources</strong></p><ul><li> Data Visualization Tools</li><li> Best Practices in Visualization</li></ul><p><strong>2. Trend Spotting and Pattern Spotting</strong></p><p><strong>2.1 Visual Language</strong></p><p><strong> About Language</strong></p><ul><li> The Language of Images</li><li> Data Visualization Language</li></ul><p><strong>2.2 Data Visualization Concepts</strong></p><ul><li> Charts and Graphs</li><li> Data</li><li> Visual Composition</li></ul><p><strong>2.3 Quick Reading of Data Visualizations</strong></p><ul><li> Finding Context</li><li> Looking at the Data</li><li> Quick Read Process</li></ul><p><strong>2.4 Critical Reading of Data Visualizations</strong></p><ul><li> The Source of the Chart</li><li> You and the Chart</li><li> Reading the Chart</li></ul><p><strong>3. Data Storytelling</strong></p><p><strong>3.1 Data Storytelling Basics</strong></p><ul><li> The Power of Stories</li><li> Data Story Examples</li><li> Flash Stories #1</li><li> The Nature of Stories</li></ul><p><strong>3.2 A Data-Driven Business Story</strong></p><ul><li> Business Need</li><li> Data Selection</li><li> Data Analysis</li><li> Visualizing the Story</li><li> Telling the Story</li></ul><p><strong>3.3 Story Crafting</strong></p><ul><li> The Dynamics of Stories</li><li> Story Framing</li><li> Kinds of Stories</li><li> Stories that Stick</li><li> Stories that Work</li><li> Flash Stories #2</li></ul><p><strong>3.4 Storytelling Media</strong></p><ul><li> Images</li><li> Words</li><li> Infographics</li><li> Animations</li><li> Video</li><li> Exercise - Crafting a Story of Data Breaches</li></ul><br />

<h3>About Training</h3><p>Communication, conversation, and collaboration – these three C’s are the keys to data-driven business. Data is the catalyst that triggers and inspires the three C’s. Data visualization is a core element of business analytics and business communications. Without visualization, the numbers and statistics of analytics are difficult to interpret and incomprehensible to many who need to turn data into knowledge. Elegant and well-designed data visuals often appear to be easy because skilled visual developers hide the complexities and hard work behind the scenes.<br><br>Creating visualizations is only the beginning. Analytics impact depends on visualization skills of two kinds – ability to create visuals and ability to understand them. The real value of visualization does not come from creating visuals, but from understanding what they tell you. With the language of words we learn reading and writing as separate but related skills. Similarly, with visual language we need to learn understanding (reading) and creating (writing) as distinct but related skills.<br><br>Data storytelling takes data visualization to the next level. Storytellers are the next generation of business and data analysts. They don&#39;t dismiss the value of the quants; they see quantification as the foundation of data stories. Neither do they devalue visualization; in fact, they amplify it’s value by scripting a story with visuals to communicate the what, when, where, who, and why of business circumstances and business behaviors.<br><br>The Visualization and Storytelling Skills workshop will cover essential techniques and best practices for data visualization and data storytelling over three days of in-depth, interactive training.</p><br /><h3>What You'll Learn</h3><ul><li>Visual design techniques and the components of visualization</li><li>Visual data exploration and analysis</li><li>The most important things to look for when viewing data visualizations</li><li>How to do a “quick read” and a “critical read” of data visualizations</li><li>To see trends, patterns, and outliers in visual presentation of data</li><li>To see ambiguity, distortion, and bias in visual presentation of data</li><li>How to find the stories in data and data visualizations</li><li>How to support data visualization with narrative and craft captivating and compelling data stories</li></ul><br /><h3>Who Should Attend</h3><ul><li>Business analysts and data analysts</li><li>Business analytics leaders and managers</li><li>Anyone who uses data to develop charts and graphs for communication</li><li>Business managers, decision makers, analysts and other analytics consumers seeking to refine their skills for understanding data visualizations</li><li>Anyone who creates data visualizations for others</li><li>Anyone who views data visualizations created by others</li></ul><br /><h3>Outline</h3><p><strong>1. Data Visualization Fundamentals</strong></p><p><strong>1.1 Data Visualization Concepts</strong></p><ul><li> Data Visualization Today</li><li> Data Visualization Components</li><li> Visual Cues</li><li> Coordinate Systems</li><li> Measurement Scales</li><li> Visual Context</li></ul><p><strong>1.2 Fundamentals of Visualization</strong></p><ul><li> Data Visualization Methods</li><li> Data Visualization Standards</li><li> Visualization with Purpose</li><li> Data Visualization Development</li></ul><p><strong>1.3 Visualization Techniques</strong></p><ul><li> Visualization Techniques</li><li> Visualizing Comparisons</li><li> Visualizing Proportions</li><li> Visualizing Relationships</li><li> Visualizing Patterns</li></ul><p><strong>1.4 Visualization and BI</strong></p><ul><li> Visualization and BI</li><li> Analytics</li><li> Visual Reporting</li><li> Infographics</li><li> Data Storytelling</li></ul><p><strong>1.5 Tools and Resources</strong></p><ul><li> Data Visualization Tools</li><li> Best Practices in Visualization</li></ul><p><strong>2. Trend Spotting and Pattern Spotting</strong></p><p><strong>2.1 Visual Language</strong></p><p><strong> About Language</strong></p><ul><li> The Language of Images</li><li> Data Visualization Language</li></ul><p><strong>2.2 Data Visualization Concepts</strong></p><ul><li> Charts and Graphs</li><li> Data</li><li> Visual Composition</li></ul><p><strong>2.3 Quick Reading of Data Visualizations</strong></p><ul><li> Finding Context</li><li> Looking at the Data</li><li> Quick Read Process</li></ul><p><strong>2.4 Critical Reading of Data Visualizations</strong></p><ul><li> The Source of the Chart</li><li> You and the Chart</li><li> Reading the Chart</li></ul><p><strong>3. Data Storytelling</strong></p><p><strong>3.1 Data Storytelling Basics</strong></p><ul><li> The Power of Stories</li><li> Data Story Examples</li><li> Flash Stories #1</li><li> The Nature of Stories</li></ul><p><strong>3.2 A Data-Driven Business Story</strong></p><ul><li> Business Need</li><li> Data Selection</li><li> Data Analysis</li><li> Visualizing the Story</li><li> Telling the Story</li></ul><p><strong>3.3 Story Crafting</strong></p><ul><li> The Dynamics of Stories</li><li> Story Framing</li><li> Kinds of Stories</li><li> Stories that Stick</li><li> Stories that Work</li><li> Flash Stories #2</li></ul><p><strong>3.4 Storytelling Media</strong></p><ul><li> Images</li><li> Words</li><li> Infographics</li><li> Animations</li><li> Video</li><li> Exercise - Crafting a Story of Data Breaches</li></ul><br />

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About Training

Communication, conversation, and collaboration – these three C’s are the keys to data-driven business. Data is the catalyst that triggers and inspires the three C’s. Data visualization is a core element of business analytics and business communications. Without visualization, the numbers and statistics of analytics are difficult to interpret and incomprehensible to many who need to turn data into knowledge. Elegant and well-designed data visuals often appear to be easy because skilled visual developers hide the complexities and hard work behind the scenes.

Creating visualizations is only the beginning. Analytics impact depends on visualization skills of two kinds – ability to create visuals and ability to understand them. The real value of visualization does not come from creating visuals, but from understanding what they tell you. With the language of words we learn reading and writing as separate but related skills. Similarly, with visual language we need to learn understanding (reading) and creating (writing) as distinct but related skills.

Data storytelling takes data visualization to the next level. Storytellers are the next generation of business and data analysts. They don't dismiss the value of the quants; they see quantification as the foundation of data stories. Neither do they devalue visualization; in fact, they amplify it’s value by scripting a story with visuals to communicate the what, when, where, who, and why of business circumstances and business behaviors.

The Visualization and Storytelling Skills workshop will cover essential techniques and best practices for data visualization and data storytelling over three days of in-depth, interactive training.

What You'll Learn

Visual design techniques and the components of visualization

Visual data exploration and analysis

The most important things to look for when viewing data visualizations

How to do a “quick read” and a “critical read” of data visualizations

To see trends, patterns, and outliers in visual presentation of data

To see ambiguity, distortion, and bias in visual presentation of data

How to find the stories in data and data visualizations

How to support data visualization with narrative and craft captivating and compelling data stories

Who Should Attend

Business analysts and data analysts

Business analytics leaders and managers

Anyone who uses data to develop charts and graphs for communication

Business managers, decision makers, analysts and other analytics consumers seeking to refine their skills for understanding data visualizations

Anyone who creates data visualizations for others

Anyone who views data visualizations created by others

Outline

1. Data Visualization Fundamentals

1.1 Data Visualization Concepts

Data Visualization Today

Data Visualization Components

Visual Cues

Coordinate Systems

Measurement Scales

Visual Context

1.2 Fundamentals of Visualization

Data Visualization Methods

Data Visualization Standards

Visualization with Purpose

Data Visualization Development

1.3 Visualization Techniques

Visualization Techniques

Visualizing Comparisons

Visualizing Proportions

Visualizing Relationships

Visualizing Patterns

1.4 Visualization and BI

Visualization and BI

Analytics

Visual Reporting

Infographics

Data Storytelling

1.5 Tools and Resources

Data Visualization Tools

Best Practices in Visualization

2. Trend Spotting and Pattern Spotting

2.1 Visual Language

About Language

The Language of Images

Data Visualization Language

2.2 Data Visualization Concepts

Charts and Graphs

Data

Visual Composition

2.3 Quick Reading of Data Visualizations

Finding Context

Looking at the Data

Quick Read Process

2.4 Critical Reading of Data Visualizations

The Source of the Chart

You and the Chart

Reading the Chart

3. Data Storytelling

3.1 Data Storytelling Basics

The Power of Stories

Data Story Examples

Flash Stories #1

The Nature of Stories

3.2 A Data-Driven Business Story

Business Need

Data Selection

Data Analysis

Visualizing the Story

Telling the Story

3.3 Story Crafting

The Dynamics of Stories

Story Framing

Kinds of Stories

Stories that Stick

Stories that Work

Flash Stories #2

3.4 Storytelling Media

Images

Words

Infographics

Animations

Video

Exercise - Crafting a Story of Data Breaches

You can also request this training at your institution as a private class. Please contact us: